Research
Research interests
Functional data analysis
Measurement error models
Survival analysis
Variable selection
Non-parametric and Semi-parametric statistical methods
Collaborative research in business, computer science, agricultural and biological sciences, chemistry, etc.
Selected publications
Vu, T.*, Xu, Y., Qiu, Y., & Powers, R. (2023). Shifting-corrected regularized regression for 1H NMR metabolomics identification and quantification. Biostatistics, 24, 140–160.. (* indicates a current or former student)
Li, Y., Qiu, Y., & Xu, Y. (2022). From multivariate to functional data analysis: Fundamentals, recent developments, and emerging areas. Journal of Multivariate Analysis, 188, 104806. (All authors have contributed equally)
Xu, Y., Li, Y., & Qiu, Y. (2021). Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis. Biometrical Journal, 63(6), 1325-1341.
Miao, C., Xu, Y., Liu, S, Schnable, P., & Schnable, J. (2020). Increased power and accuracy of causal locus identification in time-series genome-wide association in sorghum. Plant Physiology (Impact factor: 8.34).
Vu, T.*, Siemek, P., Bhinderwala, F., Xu, Y., & Powers, R. (2019). Evaluation of multivariate classification models for analyzing NMR metabolomics data. Journal of Proteome Research (Impact factor: 4.47), 18(9), 3282-3294. (* indicates a current or former student)
Xu, Y., Li, Y., & Nettleton, D. (2018). Nested hierarchical functional data modeling and inference for the analysis of functional plant phenotypes. Journal of the American Statistical Association, 113(522), 593-606.
Song, F. S., Montabon, F., & Xu, Y. (2018). The impact of national culture on corporate adoption of environmental management practices and their effectiveness. International Journal of Production Economics (Impact factor: 7.89), 205, 313-328.
Xu, Y., Qiu, Y., & Schnable, J. C. (2018). Functional modeling of plant growth dynamics. The Plant Phenome Journal (New journal in plant phenomics), 1(1), 1-10. [Winner of the 2020 Outstanding Paper Award]
Xu, Y., Kim, J. K., & Li, Y. (2017). Semiparametric estimation for measurement error models with validation data. Canadian Journal of Statistics, 45(2), 185-201.
Xu, Y., Li, Y., & Song, X. (2016). Locally efficient semiparametric estimators for proportional hazards models with measurement error. Scandinavian Journal of Statistics, 43(2), 558-572.
Book chapters
Xu, Y. (2022). Functional data analysis. Springer Handbook of Engineering Statistics, 2nd ed, Springer.